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README.md

Applied-Predictive-Modeling

This is the study notes of Applied Predictive Modeling (Kuhn and Johnson (2013)) using IPython notebook. This text, written in R, is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. The notebook reproduces book examples, provides exercise solutions and study notes for interested readers who wants to study the book using Python.

Table of Contents (in progress)

Part I General Strategies

Part II Regression Models

Part III Classification Models

  • [Ch.11 Measuring performance in classification models]

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A collection of notebook to learn the Applied Predictive Modeling using Python.

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